research-and-trade
Research a token and execute a trade if it passes due diligence. Autonomous research-to-trade pipeline: researches the token, evaluates risk, and only trades if the risk assessment approves. Stops and reports if risk is too high. Use when user wants "research X and buy if it looks good" or "due diligence then trade."
Why use this skill?
Automate your DeFi strategy with the research-and-trade skill. Conduct expert-level due diligence, risk assessment, and token swapping in one secure command.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/wpank/research-and-tradeWhat This Skill Does
The research-and-trade skill is an advanced, autonomous pipeline designed to bridge the gap between financial intelligence and trade execution. Instead of requiring users to manually chain multiple agents together—researching a token, identifying deep liquidity pools, calculating slippage, and performing a risk assessment—this skill encapsulates the entire expert workflow into a single command. The agent conducts a multi-stage analysis, synthesizing findings from each step to build a comprehensive context. If at any point the risk profile of the token or the market conditions fail to meet the user's defined thresholds, the agent performs a secure abort, preventing unauthorized capital deployment and saving the user from potential losses. By using this tool, users gain the advantage of a sophisticated financial analyst that works 24/7, providing transparent reporting on every decision point.
Installation
To integrate this autonomous pipeline into your OpenClaw environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/wpank/research-and-trade
Once installed, the agent will have the permissions required to query on-chain data and interface with decentralized exchange routers for execution.
Use Cases
This skill is perfect for traders who demand high-conviction decision-making. Use it when you are interested in a specific asset but require an unbiased, data-driven gut check before committing funds. It is ideal for rapid exploration of new tokens, automating entry strategies based on risk-gating, and maintaining a consistent, disciplined approach to DeFi investing without needing to monitor complex data dashboards yourself.
Example Prompts
- "I'm interested in ARB. Can you research it, perform a deep risk assessment, and buy $250 worth of it if everything looks solid?"
- "Please run due diligence on LINK on the Ethereum network. If the liquidity is deep and the risk score is low, swap 0.5 ETH for it."
- "Is PEPE a safe bet right now? Research the token and liquidity pools; only proceed with a purchase if the risk tolerance is set to conservative."
Tips & Limitations
Always define your trade size clearly; the agent is programmed to ask for clarification if an amount is missing to prevent accidental spending. Remember that market data changes rapidly—the risk assessment is based on the state of the blockchain at the exact moment of execution. If the market is highly volatile, ensure you set an appropriate riskTolerance (conservative vs. aggressive) to match your personal strategy. Avoid using this for large whale-sized trades where slippage might be an issue without further consulting the pool-depth report provided by the skill.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-wpank-research-and-trade": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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